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- Tasks: Design and deploy cutting-edge AI/ML solutions for real-world applications.
- Company: Join a dynamic startup environment focused on innovation and growth.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional development.
- Why this job: Make an impact in the AI/ML field while working with modern technologies.
- Qualifications: 5-7 years in Data Science/AI-ML with strong Python and deep learning skills.
- Other info: Collaborative culture with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled AI/ML Engineer – Data Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments.
Key Responsibilities
- Design, build, and optimize machine learning and deep learning models for real-world applications.
- Develop and deploy AI/ML solutions using modern Python-based frameworks.
- Implement NLP models and solutions for structured and unstructured data.
- Build and maintain production-ready ML pipelines, ensuring scalability and reliability.
- Collaborate with cross-functional teams including engineering, product, and data teams.
- Ensure proper model governance, versioning, and CI/CD practices for ML workflows.
Required Skills & Experience
- Data Science & Deep Learning: Strong hands-on experience in Deep Learning using PyTorch or TensorFlow.
- Programming & Frameworks: Proficiency in Python. Experience with web/API frameworks such as Django, Flask, or FastAPI.
- AI & NLP: Practical experience in Artificial Intelligence and Natural Language Processing (NLP).
- Cloud Platforms: Hands-on experience with AWS or Azure environments.
- MLOps & Deployment: Experience in model deployment and productionization, model governance and lifecycle management, version control tools such as Git, and CI/CD pipelines for ML workflows.
Work Environment
- Prior experience working in a startup or high-growth environment is mandatory.
Eligibility Criteria
- Permanent UK Citizenship (mandatory).
- 5–7 years of relevant experience specifically in Data Science and AI/ML Engineering.
Preferred Attributes
- Strong problem-solving and analytical thinking.
- Ability to work independently in a remote or hybrid setup.
- Effective communication and collaboration skills.
AI/ML Engineer in Aberdeen employer: Idyllic Services
Contact Detail:
Idyllic Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in Aberdeen
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. Attend meetups, webinars, or online forums to get your name out there and make some valuable contacts.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and deep learning. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common AI/ML interview questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Tailor your application to highlight your experience in data science and AI/ML, and don’t hesitate to follow up after applying to show your enthusiasm.
We think you need these skills to ace AI/ML Engineer in Aberdeen
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience in data science, deep learning, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of your work with machine learning models, especially if you've used PyTorch or TensorFlow. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about AI/ML and how your background makes you a great fit for our team. We appreciate a personal touch, so let your personality come through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Idyllic Services
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of deep learning frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in AI/ML. Think about situations where you had to optimise models or deploy solutions under tight deadlines, especially in a startup environment. This will demonstrate your analytical thinking and adaptability.
✨Familiarise Yourself with CI/CD Practices
Since model governance and CI/CD are crucial for this role, be ready to discuss your experience with version control tools like Git and how you've implemented CI/CD pipelines in your previous projects. Highlight any specific tools or processes you've used.
✨Communicate Effectively
As collaboration is key in this role, practice articulating your thoughts clearly. Be prepared to explain technical concepts in a way that non-technical team members can understand. This will show that you can work well with cross-functional teams.